Tocantins 2021

Dataset statistics

Number of variables	50
Number of observations	139
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	59.5 KiB
Average record size in memory	438.0 B

Variable types

Categorical	25
Numeric	18
Unsupported	7

Alerts

`ano` has constant value "2021"	Constant
`estado (sigla)` has constant value "TO"	Constant
`Região` has constant value "Norte"	Constant
`Dados de Identificação/Demográficos - População - Fonte` has constant value "IBGE/2020"	Constant
`Área da Unidade Territorial - Fonte` has constant value "IBGE/2010"	Constant
`Pib per capita 2020 - Fonte` has constant value "IBGE/2020"	Constant
`Pib a preços correntes (R$ 1.000) - Fonte` has constant value "IBGE/2020"	Constant
`Finanças - Investimento per Capita - Invest. Educação - Fonte` has constant value "STN/2019"	Constant
`Finanças - Investimento per Capita - Invest. Saúde - Fonte` has constant value "STN/2019"	Constant
`Finanças - Fiscal - Autonomia - Outlier` has constant value "Não"	Constant
`Finanças - Fiscal - Autonomia - Fonte` has constant value "Firjan/2019"	Constant
`Finanças - Fiscal - Gasto com Pessoal - Outlier` has constant value "Não"	Constant
`Finanças - Fiscal - Gasto com Pessoal - Fonte` has constant value "Firjan/2019"	Constant
`Finanças - Fiscal - Investimentos - Outlier` has constant value "Não"	Constant
`Finanças - Fiscal - Investimentos - Fonte` has constant value "Firjan/2019"	Constant
`Finanças - Fiscal - Liquidez - Outlier` has constant value "Não"	Constant
`Finanças - Fiscal - Liquidez - Fonte` has constant value "Firjan/2019"	Constant
`nome` has a high cardinality: 139 distinct values	High cardinality
`Nome_UF` has a high cardinality: 139 distinct values	High cardinality
`codigo_municipio` is highly overall correlated with `Código IBGE`	High correlation
`Código IBGE` is highly overall correlated with `codigo_municipio`	High correlation
`Dados de Identificação/Demográficos - População` is highly overall correlated with `capital (s/n)` and 7 other fields	High correlation
`Área da Unidade Territorial` is highly overall correlated with `Pib per capita 2020` and 1 other fields	High correlation
`Pib per capita 2020` is highly overall correlated with `Cluster` and 8 other fields	High correlation
`Pib a preços correntes (R$ 1.000)` is highly overall correlated with `capital (s/n)` and 8 other fields	High correlation
`Finanças - Investimento per Capita - Invest. Educação - Nota` is highly overall correlated with `Finanças - Investimento per Capita - Invest. Saúde - Nota` and 1 other fields	High correlation
`Finanças - Investimento per Capita - Invest. Educação - Meta` is highly overall correlated with `capital (s/n)` and 10 other fields	High correlation
`Finanças - Investimento per Capita - Invest. Saúde - Nota` is highly overall correlated with `Finanças - Investimento per Capita - Invest. Educação - Nota` and 1 other fields	High correlation
`Finanças - Investimento per Capita - Invest. Saúde - Meta` is highly overall correlated with `capital (s/n)` and 11 other fields	High correlation
`Finanças - Investimento per Capita (Indicador)` is highly overall correlated with `Pib a preços correntes (R$ 1.000)` and 3 other fields	High correlation
`Finanças - Fiscal - Autonomia - Nota` is highly overall correlated with `Cluster` and 8 other fields	High correlation
`Finanças - Fiscal - Gasto com Pessoal - Nota` is highly overall correlated with `Finanças - Fiscal - Investimentos - Nota` and 1 other fields	High correlation
`Finanças - Fiscal - Gasto com Pessoal - Meta` is highly overall correlated with `Cluster` and 9 other fields	High correlation
`Finanças - Fiscal - Investimentos - Nota` is highly overall correlated with `Finanças - Fiscal - Gasto com Pessoal - Nota` and 2 other fields	High correlation
`Finanças - Fiscal - Investimentos - Meta` is highly overall correlated with `capital (s/n)` and 10 other fields	High correlation
`Finanças - Fiscal - Liquidez - Nota` is highly overall correlated with `Finanças - Fiscal - Investimentos - Nota` and 1 other fields	High correlation
`Finanças - Fiscal (Indicador)` is highly overall correlated with `Finanças - Fiscal - Autonomia - Nota` and 3 other fields	High correlation
`capital (s/n)` is highly overall correlated with `Cluster` and 5 other fields	High correlation
`Cluster` is highly overall correlated with `capital (s/n)` and 10 other fields	High correlation
`Finanças - Fiscal - Autonomia - Meta` is highly overall correlated with `Cluster` and 6 other fields	High correlation
`Finanças - Fiscal - Liquidez - Meta` is highly overall correlated with `Cluster` and 6 other fields	High correlation
`Finanças - Investimento per Capita - Invest. Educação - Outlier` is highly overall correlated with `Pib per capita 2020`	High correlation
`nome` is uniformly distributed	Uniform
`Nome_UF` is uniformly distributed	Uniform
`codigo_municipio` has unique values	Unique
`Código IBGE` has unique values	Unique
`nome` has unique values	Unique
`Nome_UF` has unique values	Unique
`Área da Unidade Territorial` has unique values	Unique
`Pib per capita 2020` has unique values	Unique
`Pib a preços correntes (R$ 1.000)` has unique values	Unique
`Finanças - Investimento per Capita - Invest. Educação - Dado Bruto` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Finanças - Investimento per Capita - Invest. Saúde - Dado Bruto` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Finanças - Fiscal - Autonomia - Dado Bruto` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Finanças - Fiscal - Gasto com Pessoal - Dado Bruto` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Finanças - Fiscal - Investimentos - Dado Bruto` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Finanças - Fiscal - Liquidez - Dado Bruto` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Finanças - Equilíbrio Previdenciário - Indicador Situação Prev. - Dado Bruto` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Finanças - Investimento per Capita - Invest. Educação - Nota` has 7 (5.0%) zeros	Zeros
`Finanças - Investimento per Capita - Invest. Saúde - Nota` has 8 (5.8%) zeros	Zeros
`Finanças - Investimento per Capita (Indicador)` has 7 (5.0%) zeros	Zeros
`Finanças - Fiscal - Autonomia - Nota` has 84 (60.4%) zeros	Zeros
`Finanças - Fiscal - Gasto com Pessoal - Nota` has 23 (16.5%) zeros	Zeros
`Finanças - Fiscal - Investimentos - Nota` has 13 (9.4%) zeros	Zeros
`Finanças - Fiscal - Liquidez - Nota` has 20 (14.4%) zeros	Zeros
`Finanças - Fiscal (Indicador)` has 13 (9.4%) zeros	Zeros

Reproduction

Analysis started	2022-12-08 22:52:45.467904
Analysis finished	2022-12-08 22:53:22.441802
Duration	36.97 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

ano
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

2021	139

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	556
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2021
3rd row	2021
4th row	2021
5th row	2021

Common Values

Value	Count	Frequency (%)
2021	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2021	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	278	50.0%
0	139	25.0%
1	139	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	556	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	278	50.0%
0	139	25.0%
1	139	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	556	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	278	50.0%
0	139	25.0%
1	139	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	556	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	278	50.0%
0	139	25.0%
1	139	25.0%

codigo_municipio
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct	139
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	171154.45

Minimum	170025
Maximum	172210
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	170025
5-th percentile	170109.5
Q1	170435
median	171240
Q3	171825
95-th percentile	172097.3
Maximum	172210
Range	2185
Interquartile range (IQR)	1390

Descriptive statistics

Standard deviation	687.53881
Coefficient of variation (CV)	0.0040170666
Kurtosis	-1.4239796
Mean	171154.45
Median Absolute Deviation (MAD)	630
Skewness	-0.12272317
Sum	23790468
Variance	472709.61
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
171575	1	0.7%
170320	1	0.7%
172210	1	0.7%
171190	1	0.7%
170710	1	0.7%
170305	1	0.7%
172097	1	0.7%
170040	1	0.7%
171890	1	0.7%
170825	1	0.7%
Other values (129)	129	92.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
170025	1	0.7%
170030	1	0.7%
170035	1	0.7%
170040	1	0.7%
170070	1	0.7%
170100	1	0.7%
170105	1	0.7%
170110	1	0.7%
170130	1	0.7%
170190	1	0.7%

Value	Count	Frequency (%)
172210	1	0.7%
172208	1	0.7%
172130	1	0.7%
172125	1	0.7%
172120	1	0.7%
172110	1	0.7%
172100	1	0.7%
172097	1	0.7%
172093	1	0.7%
172090	1	0.7%

Código IBGE
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct	139
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1711548.9

Minimum	1700251
Maximum	1722107
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	1700251
5-th percentile	1701096
Q1	1704352.5
median	1712405
Q3	1718253.5
95-th percentile	1720980.2
Maximum	1722107
Range	21856
Interquartile range (IQR)	13901

Descriptive statistics

Standard deviation	6875.6616
Coefficient of variation (CV)	0.004017216
Kurtosis	-1.4238195
Mean	1711548.9
Median Absolute Deviation (MAD)	6305
Skewness	-0.1227163
Sum	2.3790529 × 10⁸
Variance	47274722
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1715754	1	0.7%
1703206	1	0.7%
1722107	1	0.7%
1711902	1	0.7%
1707108	1	0.7%
1703057	1	0.7%
1720978	1	0.7%
1700400	1	0.7%
1718907	1	0.7%
1708254	1	0.7%
Other values (129)	129	92.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1700251	1	0.7%
1700301	1	0.7%
1700350	1	0.7%
1700400	1	0.7%
1700707	1	0.7%
1701002	1	0.7%
1701051	1	0.7%
1701101	1	0.7%
1701309	1	0.7%
1701903	1	0.7%

Value	Count	Frequency (%)
1722107	1	0.7%
1722081	1	0.7%
1721307	1	0.7%
1721257	1	0.7%
1721208	1	0.7%
1721109	1	0.7%
1721000	1	0.7%
1720978	1	0.7%
1720937	1	0.7%
1720903	1	0.7%

nome
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	139
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

PALMEIROPOLIS	1
BERNARDO SAYAO	1
XAMBIOA	1
LAGOA DA CONFUSAO	1
DIVINOPOLIS DO TOCANTINS	1
Other values (134)	134

Length

Max length	28
Median length	21
Mean length	13.906475
Min length	4

Characters and Unicode

Total characters	1933
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	139 ?
Unique (%)	100.0%

Sample

1st row	PALMEIROPOLIS
2nd row	TAGUATINGA
3rd row	DOIS IRMAOS DO TOCANTINS
4th row	AUGUSTINOPOLIS
5th row	BURITI DO TOCANTINS

Common Values

Value	Count	Frequency (%)
PALMEIROPOLIS	1	0.7%
BERNARDO SAYAO	1	0.7%
XAMBIOA	1	0.7%
LAGOA DA CONFUSAO	1	0.7%
DIVINOPOLIS DO TOCANTINS	1	0.7%
BANDEIRANTES DO TOCANTINS	1	0.7%
TALISMA	1	0.7%
ALMAS	1	0.7%
SANTA ROSA DO TOCANTINS	1	0.7%
FORTALEZA DO TABOCAO	1	0.7%
Other values (129)	129	92.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
do	44	15.7%
tocantins	37	13.2%
santa	6	2.1%
sao	6	2.1%
de	4	1.4%
da	4	1.4%
novo	4	1.4%
rio	4	1.4%
natividade	3	1.1%
araguaia	2	0.7%
Other values (153)	166	59.3%

Most occurring characters

Value	Count	Frequency (%)
A	312	16.1%
O	215	11.1%
I	183	9.5%
N	171	8.8%
	141	7.3%
T	135	7.0%
S	114	5.9%
R	105	5.4%
D	99	5.1%
C	81	4.2%
Other values (18)	377	19.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1791	92.7%
Space Separator	141	7.3%
Modifier Symbol	1	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	312	17.4%
O	215	12.0%
I	183	10.2%
N	171	9.5%
T	135	7.5%
S	114	6.4%
R	105	5.9%
D	99	5.5%
C	81	4.5%
E	80	4.5%
Other values (16)	296	16.5%

Space Separator

Value	Count	Frequency (%)
	141	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1791	92.7%
Common	142	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	312	17.4%
O	215	12.0%
I	183	10.2%
N	171	9.5%
T	135	7.5%
S	114	6.4%
R	105	5.9%
D	99	5.5%
C	81	4.5%
E	80	4.5%
Other values (16)	296	16.5%

Common

Value	Count	Frequency (%)
	141	99.3%
´	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1932	99.9%
None	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	312	16.1%
O	215	11.1%
I	183	9.5%
N	171	8.9%
	141	7.3%
T	135	7.0%
S	114	5.9%
R	105	5.4%
D	99	5.1%
C	81	4.2%
Other values (17)	376	19.5%

None

Value	Count	Frequency (%)
´	1	100.0%

estado (sigla)
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

TO	139

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	278
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TO
2nd row	TO
3rd row	TO
4th row	TO
5th row	TO

Common Values

Value	Count	Frequency (%)
TO	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
to	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
T	139	50.0%
O	139	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	278	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	139	50.0%
O	139	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	278	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	139	50.0%
O	139	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	278	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	139	50.0%
O	139	50.0%

Região
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Norte	139

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	695
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Norte
2nd row	Norte
3rd row	Norte
4th row	Norte
5th row	Norte

Common Values

Value	Count	Frequency (%)
Norte	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
norte	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
N	139	20.0%
o	139	20.0%
r	139	20.0%
t	139	20.0%
e	139	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	556	80.0%
Uppercase Letter	139	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	139	25.0%
r	139	25.0%
t	139	25.0%
e	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
N	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	695	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	139	20.0%
o	139	20.0%
r	139	20.0%
t	139	20.0%
e	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	695	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	139	20.0%
o	139	20.0%
r	139	20.0%
t	139	20.0%
e	139	20.0%

Nome_UF
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	139
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

PALMEIROPOLIS - TO	1
BERNARDO SAYAO - TO	1
XAMBIOA - TO	1
LAGOA DA CONFUSAO - TO	1
DIVINOPOLIS DO TOCANTINS - TO	1
Other values (134)	134

Length

Max length	33
Median length	26
Mean length	18.906475
Min length	9

Characters and Unicode

Total characters	2628
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	139 ?
Unique (%)	100.0%

Sample

1st row	PALMEIROPOLIS - TO
2nd row	TAGUATINGA - TO
3rd row	DOIS IRMAOS DO TOCANTINS - TO
4th row	AUGUSTINOPOLIS - TO
5th row	BURITI DO TOCANTINS - TO

Common Values

Value	Count	Frequency (%)
PALMEIROPOLIS - TO	1	0.7%
BERNARDO SAYAO - TO	1	0.7%
XAMBIOA - TO	1	0.7%
LAGOA DA CONFUSAO - TO	1	0.7%
DIVINOPOLIS DO TOCANTINS - TO	1	0.7%
BANDEIRANTES DO TOCANTINS - TO	1	0.7%
TALISMA - TO	1	0.7%
ALMAS - TO	1	0.7%
SANTA ROSA DO TOCANTINS - TO	1	0.7%
FORTALEZA DO TABOCAO - TO	1	0.7%
Other values (129)	129	92.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
to	139	24.9%
	139	24.9%
do	44	7.9%
tocantins	37	6.6%
santa	6	1.1%
sao	6	1.1%
novo	4	0.7%
de	4	0.7%
rio	4	0.7%
da	4	0.7%
Other values (155)	171	30.6%

Most occurring characters

Value	Count	Frequency (%)
	419	15.9%
O	354	13.5%
A	312	11.9%
T	274	10.4%
I	183	7.0%
N	171	6.5%
-	139	5.3%
S	114	4.3%
R	105	4.0%
D	99	3.8%
Other values (19)	458	17.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2069	78.7%
Space Separator	419	15.9%
Dash Punctuation	139	5.3%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	354	17.1%
A	312	15.1%
T	274	13.2%
I	183	8.8%
N	171	8.3%
S	114	5.5%
R	105	5.1%
D	99	4.8%
C	81	3.9%
E	80	3.9%
Other values (16)	296	14.3%

Space Separator

Value	Count	Frequency (%)
	419	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	139	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2069	78.7%
Common	559	21.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	354	17.1%
A	312	15.1%
T	274	13.2%
I	183	8.8%
N	171	8.3%
S	114	5.5%
R	105	5.1%
D	99	4.8%
C	81	3.9%
E	80	3.9%
Other values (16)	296	14.3%

Common

Value	Count	Frequency (%)
	419	75.0%
-	139	24.9%
´	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2627	> 99.9%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	419	15.9%
O	354	13.5%
A	312	11.9%
T	274	10.4%
I	183	7.0%
N	171	6.5%
-	139	5.3%
S	114	4.3%
R	105	4.0%
D	99	3.8%
Other values (18)	457	17.4%

None

Value	Count	Frequency (%)
´	1	100.0%

capital (s/n)
Categorical

Distinct	2
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

n	138
s	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	139
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.7%

Sample

1st row	n
2nd row	n
3rd row	n
4th row	n
5th row	n

Common Values

Value	Count	Frequency (%)
n	138	99.3%
s	1	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
n	138	99.3%
s	1	0.7%

Most occurring characters

Value	Count	Frequency (%)
n	138	99.3%
s	1	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	139	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	138	99.3%
s	1	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	139	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	138	99.3%
s	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	139	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	138	99.3%
s	1	0.7%

Cluster
Categorical

Distinct	7
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Grupo 1	71
Grupo 2	58
Grupo 3	3
Grupo 6	3
Grupo 4	2
Other values (2)	2

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	973
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.4%

Sample

1st row	Grupo 1
2nd row	Grupo 1
3rd row	Grupo 1
4th row	Grupo 1
5th row	Grupo 1

Common Values

Value	Count	Frequency (%)
Grupo 1	71	51.1%
Grupo 2	58	41.7%
Grupo 3	3	2.2%
Grupo 6	3	2.2%
Grupo 4	2	1.4%
Grupo 7	1	0.7%
Grupo 8	1	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
grupo	139	50.0%
1	71	25.5%
2	58	20.9%
3	3	1.1%
6	3	1.1%
4	2	0.7%
7	1	0.4%
8	1	0.4%

Most occurring characters

Value	Count	Frequency (%)
G	139	14.3%
r	139	14.3%
u	139	14.3%
p	139	14.3%
o	139	14.3%
	139	14.3%
1	71	7.3%
2	58	6.0%
3	3	0.3%
6	3	0.3%
Other values (3)	4	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	556	57.1%
Uppercase Letter	139	14.3%
Space Separator	139	14.3%
Decimal Number	139	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	71	51.1%
2	58	41.7%
3	3	2.2%
6	3	2.2%
4	2	1.4%
7	1	0.7%
8	1	0.7%

Lowercase Letter

Value	Count	Frequency (%)
r	139	25.0%
u	139	25.0%
p	139	25.0%
o	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
G	139	100.0%

Space Separator

Value	Count	Frequency (%)
	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	695	71.4%
Common	278	28.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
	139	50.0%
1	71	25.5%
2	58	20.9%
3	3	1.1%
6	3	1.1%
4	2	0.7%
7	1	0.4%
8	1	0.4%

Latin

Value	Count	Frequency (%)
G	139	20.0%
r	139	20.0%
u	139	20.0%
p	139	20.0%
o	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	973	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
G	139	14.3%
r	139	14.3%
u	139	14.3%
p	139	14.3%
o	139	14.3%
	139	14.3%
1	71	7.3%
2	58	6.0%
3	3	0.3%
6	3	0.3%
Other values (3)	4	0.4%

Dados de Identificação/Demográficos - População
Real number (ℝ)

Distinct	138
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11440.633

Minimum	1118
Maximum	306296
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	1118
5-th percentile	2045.4
Q1	3352
median	5130
Q3	8482.5
95-th percentile	27133.6
Maximum	306296
Range	305178
Interquartile range (IQR)	5130.5

Descriptive statistics

Standard deviation	31052.838
Coefficient of variation (CV)	2.7142587
Kurtosis	65.899663
Mean	11440.633
Median Absolute Deviation (MAD)	2322
Skewness	7.6831716
Sum	1590248
Variance	9.6427877 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2729	2	1.4%
7676	1	0.7%
6979	1	0.7%
11520	1	0.7%
13676	1	0.7%
6943	1	0.7%
3592	1	0.7%
2812	1	0.7%
4448	1	0.7%
5519	1	0.7%
Other values (128)	128	92.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1118	1	0.7%
1410	1	0.7%
1598	1	0.7%
1735	1	0.7%
1922	1	0.7%
1954	1	0.7%
1986	1	0.7%
2052	1	0.7%
2166	1	0.7%
2171	1	0.7%

Value	Count	Frequency (%)
306296	1	0.7%
183381	1	0.7%
87545	1	0.7%
53316	1	0.7%
51891	1	0.7%
36170	1	0.7%
35851	1	0.7%
26165	1	0.7%
22845	1	0.7%
22424	1	0.7%

Dados de Identificação/Demográficos - População - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

IBGE/2020	139

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	1251
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IBGE/2020
2nd row	IBGE/2020
3rd row	IBGE/2020
4th row	IBGE/2020
5th row	IBGE/2020

Common Values

Value	Count	Frequency (%)
IBGE/2020	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ibge/2020	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	278	22.2%
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	556	44.4%
Uppercase Letter	556	44.4%
Other Punctuation	139	11.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Decimal Number

Value	Count	Frequency (%)
2	278	50.0%
0	278	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	695	55.6%
Latin	556	44.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Common

Value	Count	Frequency (%)
2	278	40.0%
0	278	40.0%
/	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1251	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	278	22.2%
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%

Área da Unidade Territorial
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct	139
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1997.9899

Minimum	150.21
Maximum	13423.39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	150.21
5-th percentile	250.267
Q1	738.985
median	1367.61
Q3	2243.55
95-th percentile	6359.793
Maximum	13423.39
Range	13273.18
Interquartile range (IQR)	1504.565

Descriptive statistics

Standard deviation	2223.8608
Coefficient of variation (CV)	1.1130491
Kurtosis	9.1707966
Mean	1997.9899
Median Absolute Deviation (MAD)	726.14
Skewness	2.8030419
Sum	277720.6
Variance	4945557
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1703.94	1	0.7%
926.89	1	0.7%
1186.43	1	0.7%
10564.67	1	0.7%
2347.43	1	0.7%
1541.84	1	0.7%
2156.9	1	0.7%
4013.24	1	0.7%
1796.26	1	0.7%
621.56	1	0.7%
Other values (129)	129	92.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
150.21	1	0.7%
192.94	1	0.7%
200.11	1	0.7%
205.85	1	0.7%
209.57	1	0.7%
222.29	1	0.7%
235.39	1	0.7%
251.92	1	0.7%
269.68	1	0.7%
279.56	1	0.7%

Value	Count	Frequency (%)
13423.39	1	0.7%
11260.22	1	0.7%
10564.67	1	0.7%
10013.78	1	0.7%
9681.66	1	0.7%
6491.13	1	0.7%
6408.6	1	0.7%
6354.37	1	0.7%
5786.87	1	0.7%
5723.23	1	0.7%

Área da Unidade Territorial - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

IBGE/2010	139

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	1251
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IBGE/2010
2nd row	IBGE/2010
3rd row	IBGE/2010
4th row	IBGE/2010
5th row	IBGE/2010

Common Values

Value	Count	Frequency (%)
IBGE/2010	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ibge/2010	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%
2	139	11.1%
1	139	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	556	44.4%
Uppercase Letter	556	44.4%
Other Punctuation	139	11.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Decimal Number

Value	Count	Frequency (%)
0	278	50.0%
2	139	25.0%
1	139	25.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	695	55.6%
Latin	556	44.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	278	40.0%
/	139	20.0%
2	139	20.0%
1	139	20.0%

Latin

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1251	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%
2	139	11.1%
1	139	11.1%

Pib per capita 2020
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct	139
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18970.471

Minimum	8211.68
Maximum	80738.87
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	8211.68
5-th percentile	9724.808
Q1	11695.16
median	15640.65
Q3	22138
95-th percentile	37286.594
Maximum	80738.87
Range	72527.19
Interquartile range (IQR)	10442.84

Descriptive statistics

Standard deviation	11011.299
Coefficient of variation (CV)	0.58044414
Kurtosis	10.303759
Mean	18970.471
Median Absolute Deviation (MAD)	4632.28
Skewness	2.6581216
Sum	2636895.5
Variance	1.212487 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15543.8	1	0.7%
16725.68	1	0.7%
25166.89	1	0.7%
37107.01	1	0.7%
17949.32	1	0.7%
34257.69	1	0.7%
29682.14	1	0.7%
21314.69	1	0.7%
31072.56	1	0.7%
72737.58	1	0.7%
Other values (129)	129	92.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8211.68	1	0.7%
8501.44	1	0.7%
8623.29	1	0.7%
8731.58	1	0.7%
8836.5	1	0.7%
9386.15	1	0.7%
9623.27	1	0.7%
9736.09	1	0.7%
9813.95	1	0.7%
9887	1	0.7%

Value	Count	Frequency (%)
80738.87	1	0.7%
72737.58	1	0.7%
51358.01	1	0.7%
45449.34	1	0.7%
43272.03	1	0.7%
39844.35	1	0.7%
38902.85	1	0.7%
37107.01	1	0.7%
35362.17	1	0.7%
34257.69	1	0.7%

Pib per capita 2020 - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

IBGE/2020	139

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	1251
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IBGE/2020
2nd row	IBGE/2020
3rd row	IBGE/2020
4th row	IBGE/2020
5th row	IBGE/2020

Common Values

Value	Count	Frequency (%)
IBGE/2020	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ibge/2020	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	278	22.2%
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	556	44.4%
Uppercase Letter	556	44.4%
Other Punctuation	139	11.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Decimal Number

Value	Count	Frequency (%)
2	278	50.0%
0	278	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	695	55.6%
Latin	556	44.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Common

Value	Count	Frequency (%)
2	278	40.0%
0	278	40.0%
/	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1251	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	278	22.2%
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%

Pib a preços correntes (R$ 1.000)
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct	139
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	263228.02

Minimum	20542.635
Maximum	9891489.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	20542.635
5-th percentile	27422.645
Q1	47547.968
median	83466.178
Q3	162088.35
95-th percentile	560283.95
Maximum	9891489.3
Range	9870946.7
Interquartile range (IQR)	114540.38

Descriptive statistics

Standard deviation	942919.99
Coefficient of variation (CV)	3.5821414
Kurtosis	82.596024
Mean	263228.02
Median Absolute Deviation (MAD)	42710.274
Skewness	8.6084381
Sum	36588695
Variance	8.8909811 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
119314.2088	1	0.7%
74395.82464	1	0.7%
289922.5728	1	0.7%
507475.4688	1	0.7%
124622.1288	1	0.7%
123053.6225	1	0.7%
83466.17768	1	0.7%
148755.2215	1	0.7%
150577.6258	1	0.7%
189263.1832	1	0.7%
Other values (129)	129	92.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20542.6351	1	0.7%
21852.61804	1	0.7%
21941.29834	1	0.7%
23563.89234	1	0.7%
24068.4885	1	0.7%
24501.28416	1	0.7%
27361.42596	1	0.7%
27429.44676	1	0.7%
28813.7399	1	0.7%
29718.9072	1	0.7%

Value	Count	Frequency (%)
9891489.331	1	0.7%
4532437.461	1	0.7%
2249067.819	1	0.7%
1697072.805	1	0.7%
1261793.491	1	0.7%
744012.5764	1	0.7%
663853.4086	1	0.7%
548776.2325	1	0.7%
539620.0138	1	0.7%
508440.76	1	0.7%

Pib a preços correntes (R$ 1.000) - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

IBGE/2020	139

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	1251
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IBGE/2020
2nd row	IBGE/2020
3rd row	IBGE/2020
4th row	IBGE/2020
5th row	IBGE/2020

Common Values

Value	Count	Frequency (%)
IBGE/2020	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ibge/2020	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	278	22.2%
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	556	44.4%
Uppercase Letter	556	44.4%
Other Punctuation	139	11.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Decimal Number

Value	Count	Frequency (%)
2	278	50.0%
0	278	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	695	55.6%
Latin	556	44.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	139	25.0%
B	139	25.0%
G	139	25.0%
E	139	25.0%

Common

Value	Count	Frequency (%)
2	278	40.0%
0	278	40.0%
/	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1251	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	278	22.2%
0	278	22.2%
I	139	11.1%
B	139	11.1%
G	139	11.1%
E	139	11.1%
/	139	11.1%

Finanças - Investimento per Capita - Invest. Educação - Dado Bruto
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Finanças - Investimento per Capita - Invest. Educação - Nota
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	111
Distinct (%)	79.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.974964

Minimum	0
Maximum	10
Zeros	7
Zeros (%)	5.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1.458
Q1	4.1
median	5.84
Q3	8.26
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	4.16

Descriptive statistics

Standard deviation	2.6966351
Coefficient of variation (CV)	0.45132241
Kurtosis	-0.55258597
Mean	5.974964
Median Absolute Deviation (MAD)	1.99
Skewness	-0.21149776
Sum	830.52
Variance	7.2718411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	16	11.5%
0	7	5.0%
3.43	2	1.4%
2.65	2	1.4%
5.73	2	1.4%
5.82	2	1.4%
3.54	2	1.4%
8.39	2	1.4%
3.67	2	1.4%
2.62	1	0.7%
Other values (101)	101	72.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	5.0%
1.62	1	0.7%
1.99	1	0.7%
2.33	1	0.7%
2.42	1	0.7%
2.62	1	0.7%
2.65	2	1.4%
2.78	1	0.7%
2.93	1	0.7%
3	1	0.7%

Value	Count	Frequency (%)
10	16	11.5%
9.86	1	0.7%
9.78	1	0.7%
9.73	1	0.7%
9.59	1	0.7%
9.56	1	0.7%
9.47	1	0.7%
9.43	1	0.7%
9.23	1	0.7%
9.16	1	0.7%

Finanças - Investimento per Capita - Invest. Educação - Meta
Real number (ℝ)

Distinct	7
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1415.6267

Minimum	881.88868
Maximum	1530.445
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	881.88868
5-th percentile	1248.5487
Q1	1354.9595
median	1354.9595
Q3	1530.445
95-th percentile	1530.445
Maximum	1530.445
Range	648.55636
Interquartile range (IQR)	175.48558

Descriptive statistics

Standard deviation	111.09372
Coefficient of variation (CV)	0.078476707
Kurtosis	2.6395391
Mean	1415.6267
Median Absolute Deviation (MAD)	0
Skewness	-0.91741945
Sum	196772.11
Variance	12341.815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1354.959465	71	51.1%
1530.445047	58	41.7%
1248.735078	3	2.2%
1246.871303	3	2.2%
1170.632635	2	1.4%
881.8886823	1	0.7%
1094.205857	1	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
881.8886823	1	0.7%
1094.205857	1	0.7%
1170.632635	2	1.4%
1246.871303	3	2.2%
1248.735078	3	2.2%
1354.959465	71	51.1%
1530.445047	58	41.7%

Value	Count	Frequency (%)
1530.445047	58	41.7%
1354.959465	71	51.1%
1248.735078	3	2.2%
1246.871303	3	2.2%
1170.632635	2	1.4%
1094.205857	1	0.7%
881.8886823	1	0.7%

Finanças - Investimento per Capita - Invest. Educação - Outlier
Categorical

Distinct	2
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Não	134
Sim	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	417
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Não
2nd row	Não
3rd row	Não
4th row	Não
5th row	Não

Common Values

Value	Count	Frequency (%)
Não	134	96.4%
Sim	5	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
não	134	96.4%
sim	5	3.6%

Most occurring characters

Value	Count	Frequency (%)
N	134	32.1%
ã	134	32.1%
o	134	32.1%
S	5	1.2%
i	5	1.2%
m	5	1.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278	66.7%
Uppercase Letter	139	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
ã	134	48.2%
o	134	48.2%
i	5	1.8%
m	5	1.8%

Uppercase Letter

Value	Count	Frequency (%)
N	134	96.4%
S	5	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	417	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	134	32.1%
ã	134	32.1%
o	134	32.1%
S	5	1.2%
i	5	1.2%
m	5	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	283	67.9%
None	134	32.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	134	47.3%
o	134	47.3%
S	5	1.8%
i	5	1.8%
m	5	1.8%

None

Value	Count	Frequency (%)
ã	134	100.0%

Finanças - Investimento per Capita - Invest. Educação - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

STN/2019	139

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	1112
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	STN/2019
2nd row	STN/2019
3rd row	STN/2019
4th row	STN/2019
5th row	STN/2019

Common Values

Value	Count	Frequency (%)
STN/2019	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
stn/2019	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
S	139	12.5%
T	139	12.5%
N	139	12.5%
/	139	12.5%
2	139	12.5%
0	139	12.5%
1	139	12.5%
9	139	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	556	50.0%
Uppercase Letter	417	37.5%
Other Punctuation	139	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	139	25.0%
0	139	25.0%
1	139	25.0%
9	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
S	139	33.3%
T	139	33.3%
N	139	33.3%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	695	62.5%
Latin	417	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	139	20.0%
2	139	20.0%
0	139	20.0%
1	139	20.0%
9	139	20.0%

Latin

Value	Count	Frequency (%)
S	139	33.3%
T	139	33.3%
N	139	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1112	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	139	12.5%
T	139	12.5%
N	139	12.5%
/	139	12.5%
2	139	12.5%
0	139	12.5%
1	139	12.5%
9	139	12.5%

Finanças - Investimento per Capita - Invest. Saúde - Dado Bruto
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Finanças - Investimento per Capita - Invest. Saúde - Nota
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	109
Distinct (%)	78.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.1530216

Minimum	0
Maximum	10
Zeros	8
Zeros (%)	5.8%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3.01
median	4.4
Q3	7.49
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	4.48

Descriptive statistics

Standard deviation	2.9789624
Coefficient of variation (CV)	0.57810012
Kurtosis	-1.0126168
Mean	5.1530216
Median Absolute Deviation (MAD)	2.04
Skewness	0.23742321
Sum	716.27
Variance	8.8742169
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	14	10.1%
0	8	5.8%
3.42	2	1.4%
6.52	2	1.4%
4.32	2	1.4%
8.64	2	1.4%
3.66	2	1.4%
6.43	2	1.4%
3.5	2	1.4%
4	2	1.4%
Other values (99)	101	72.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	5.8%
1.17	1	0.7%
1.31	1	0.7%
1.36	1	0.7%
1.44	1	0.7%
1.47	1	0.7%
1.53	1	0.7%
1.61	1	0.7%
1.75	1	0.7%
1.84	1	0.7%

Value	Count	Frequency (%)
10	14	10.1%
9.9	1	0.7%
9.83	1	0.7%
9.63	1	0.7%
9.62	1	0.7%
9.57	1	0.7%
9.52	1	0.7%
9.45	1	0.7%
9.4	1	0.7%
9.24	1	0.7%

Finanças - Investimento per Capita - Invest. Saúde - Meta
Real number (ℝ)

Distinct	7
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1193.7645

Minimum	673.54644
Maximum	1499.3691
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	673.54644
5-th percentile	980.53246
Q1	980.53246
median	980.53246
Q3	1499.3691
95-th percentile	1499.3691
Maximum	1499.3691
Range	825.82261
Interquartile range (IQR)	518.8366

Descriptive statistics

Standard deviation	265.09849
Coefficient of variation (CV)	0.22206933
Kurtosis	-1.704197
Mean	1193.7645
Median Absolute Deviation (MAD)	0
Skewness	0.19179886
Sum	165933.27
Variance	70277.211
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
980.5324596	71	51.1%
1499.369056	58	41.7%
673.5464413	3	2.2%
1075.024453	3	2.2%
991.0259585	2	1.4%
859.4854444	1	0.7%
1264.808039	1	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
673.5464413	3	2.2%
859.4854444	1	0.7%
980.5324596	71	51.1%
991.0259585	2	1.4%
1075.024453	3	2.2%
1264.808039	1	0.7%
1499.369056	58	41.7%

Value	Count	Frequency (%)
1499.369056	58	41.7%
1264.808039	1	0.7%
1075.024453	3	2.2%
991.0259585	2	1.4%
980.5324596	71	51.1%
859.4854444	1	0.7%
673.5464413	3	2.2%

Finanças - Investimento per Capita - Invest. Saúde - Outlier
Categorical

Distinct	2
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Não	134
Sim	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	417
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Não
2nd row	Não
3rd row	Não
4th row	Não
5th row	Não

Common Values

Value	Count	Frequency (%)
Não	134	96.4%
Sim	5	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
não	134	96.4%
sim	5	3.6%

Most occurring characters

Value	Count	Frequency (%)
N	134	32.1%
ã	134	32.1%
o	134	32.1%
S	5	1.2%
i	5	1.2%
m	5	1.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278	66.7%
Uppercase Letter	139	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
ã	134	48.2%
o	134	48.2%
i	5	1.8%
m	5	1.8%

Uppercase Letter

Value	Count	Frequency (%)
N	134	96.4%
S	5	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	417	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	134	32.1%
ã	134	32.1%
o	134	32.1%
S	5	1.2%
i	5	1.2%
m	5	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	283	67.9%
None	134	32.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	134	47.3%
o	134	47.3%
S	5	1.8%
i	5	1.8%
m	5	1.8%

None

Value	Count	Frequency (%)
ã	134	100.0%

Finanças - Investimento per Capita - Invest. Saúde - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

STN/2019	139

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	1112
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	STN/2019
2nd row	STN/2019
3rd row	STN/2019
4th row	STN/2019
5th row	STN/2019

Common Values

Value	Count	Frequency (%)
STN/2019	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
stn/2019	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
S	139	12.5%
T	139	12.5%
N	139	12.5%
/	139	12.5%
2	139	12.5%
0	139	12.5%
1	139	12.5%
9	139	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	556	50.0%
Uppercase Letter	417	37.5%
Other Punctuation	139	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	139	25.0%
0	139	25.0%
1	139	25.0%
9	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
S	139	33.3%
T	139	33.3%
N	139	33.3%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	695	62.5%
Latin	417	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	139	20.0%
2	139	20.0%
0	139	20.0%
1	139	20.0%
9	139	20.0%

Latin

Value	Count	Frequency (%)
S	139	33.3%
T	139	33.3%
N	139	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1112	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	139	12.5%
T	139	12.5%
N	139	12.5%
/	139	12.5%
2	139	12.5%
0	139	12.5%
1	139	12.5%
9	139	12.5%

Finanças - Investimento per Capita (Indicador)
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	127
Distinct (%)	91.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.5639928

Minimum	0
Maximum	10
Zeros	7
Zeros (%)	5.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1.701
Q1	3.925
median	5.39
Q3	7.34
95-th percentile	9.818
Maximum	10
Range	10
Interquartile range (IQR)	3.415

Descriptive statistics

Standard deviation	2.5122092
Coefficient of variation (CV)	0.45151194
Kurtosis	-0.3641579
Mean	5.5639928
Median Absolute Deviation (MAD)	1.61
Skewness	-0.079441634
Sum	773.395
Variance	6.311195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7	5.0%
10	5	3.6%
4.265	2	1.4%
5.23	2	1.4%
6.05	1	0.7%
9.81	1	0.7%
3.355	1	0.7%
2.775	1	0.7%
3.85	1	0.7%
8.215	1	0.7%
Other values (117)	117	84.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	5.0%
1.89	1	0.7%
2.18	1	0.7%
2.25	1	0.7%
2.26	1	0.7%
2.62	1	0.7%
2.67	1	0.7%
2.695	1	0.7%
2.705	1	0.7%
2.775	1	0.7%

Value	Count	Frequency (%)
10	5	3.6%
9.915	1	0.7%
9.89	1	0.7%
9.81	1	0.7%
9.78	1	0.7%
9.7	1	0.7%
9.62	1	0.7%
9.61	1	0.7%
9.555	1	0.7%
9.4	1	0.7%

Finanças - Fiscal - Autonomia - Dado Bruto
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Finanças - Fiscal - Autonomia - Nota
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	46
Distinct (%)	33.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.0605755

Minimum	0
Maximum	10
Zeros	84
Zeros (%)	60.4%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3.17
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	3.17

Descriptive statistics

Standard deviation	3.3262282
Coefficient of variation (CV)	1.6142229
Kurtosis	0.65477158
Mean	2.0605755
Median Absolute Deviation (MAD)	0
Skewness	1.4516812
Sum	286.42
Variance	11.063794
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
0	84	60.4%
10	11	7.9%
2.72	1	0.7%
5.71	1	0.7%
4.39	1	0.7%
2.2	1	0.7%
2.1	1	0.7%
0.37	1	0.7%
3.7	1	0.7%
0.88	1	0.7%
Other values (36)	36	25.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	84	60.4%
0.19	1	0.7%
0.29	1	0.7%
0.37	1	0.7%
0.8	1	0.7%
0.82	1	0.7%
0.87	1	0.7%
0.88	1	0.7%
1.13	1	0.7%
1.55	1	0.7%

Value	Count	Frequency (%)
10	11	7.9%
9.14	1	0.7%
8.89	1	0.7%
8.86	1	0.7%
8.38	1	0.7%
8.27	1	0.7%
8.23	1	0.7%
7.69	1	0.7%
7.41	1	0.7%
6.52	1	0.7%

Finanças - Fiscal - Autonomia - Meta
Categorical

Distinct	3
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

0.31610000000000016	71
1.0	65
0.338	3

Length

Max length	19
Median length	19
Mean length	11.215827
Min length	3

Characters and Unicode

Total characters	1559
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.31610000000000016
2nd row	0.31610000000000016
3rd row	0.31610000000000016
4th row	0.31610000000000016
5th row	0.31610000000000016

Common Values

Value	Count	Frequency (%)
0.31610000000000016	71	51.1%
1.0	65	46.8%
0.338	3	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.31610000000000016	71	51.1%
1.0	65	46.8%
0.338	3	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	920	59.0%
1	278	17.8%
6	142	9.1%
.	139	8.9%
3	77	4.9%
8	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1420	91.1%
Other Punctuation	139	8.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	920	64.8%
1	278	19.6%
6	142	10.0%
3	77	5.4%
8	3	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1559	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	920	59.0%
1	278	17.8%
6	142	9.1%
.	139	8.9%
3	77	4.9%
8	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1559	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	920	59.0%
1	278	17.8%
6	142	9.1%
.	139	8.9%
3	77	4.9%
8	3	0.2%

Finanças - Fiscal - Autonomia - Outlier
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Não	139

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	417
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Não
2nd row	Não
3rd row	Não
4th row	Não
5th row	Não

Common Values

Value	Count	Frequency (%)
Não	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
não	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278	66.7%
Uppercase Letter	139	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
ã	139	50.0%
o	139	50.0%

Uppercase Letter

Value	Count	Frequency (%)
N	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	417	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	278	66.7%
None	139	33.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	139	50.0%
o	139	50.0%

None

Value	Count	Frequency (%)
ã	139	100.0%

Finanças - Fiscal - Autonomia - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Firjan/2019	139

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1529
Distinct characters	11
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Firjan/2019
2nd row	Firjan/2019
3rd row	Firjan/2019
4th row	Firjan/2019
5th row	Firjan/2019

Common Values

Value	Count	Frequency (%)
Firjan/2019	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
firjan/2019	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	695	45.5%
Decimal Number	556	36.4%
Uppercase Letter	139	9.1%
Other Punctuation	139	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	139	20.0%
r	139	20.0%
j	139	20.0%
a	139	20.0%
n	139	20.0%

Decimal Number

Value	Count	Frequency (%)
2	139	25.0%
0	139	25.0%
1	139	25.0%
9	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
F	139	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	834	54.5%
Common	695	45.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	139	16.7%
i	139	16.7%
r	139	16.7%
j	139	16.7%
a	139	16.7%
n	139	16.7%

Common

Value	Count	Frequency (%)
/	139	20.0%
2	139	20.0%
0	139	20.0%
1	139	20.0%
9	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1529	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Finanças - Fiscal - Gasto com Pessoal - Dado Bruto
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Finanças - Fiscal - Gasto com Pessoal - Nota
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	95
Distinct (%)	68.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.9452518

Minimum	0
Maximum	10
Zeros	23
Zeros (%)	16.5%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.37
median	4.93
Q3	7.54
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	5.17

Descriptive statistics

Standard deviation	3.3898464
Coefficient of variation (CV)	0.68547498
Kurtosis	-1.1858903
Mean	4.9452518
Median Absolute Deviation (MAD)	2.57
Skewness	-0.009336835
Sum	687.39
Variance	11.491058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	23	16.5%
10	18	12.9%
4.32	2	1.4%
6.57	2	1.4%
3.37	2	1.4%
5.78	2	1.4%
2.79	2	1.4%
6.6	1	0.7%
5.33	1	0.7%
1.99	1	0.7%
Other values (85)	85	61.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	23	16.5%
0.22	1	0.7%
0.26	1	0.7%
0.71	1	0.7%
0.92	1	0.7%
1.27	1	0.7%
1.28	1	0.7%
1.56	1	0.7%
1.8	1	0.7%
1.99	1	0.7%

Value	Count	Frequency (%)
10	18	12.9%
9.98	1	0.7%
9.84	1	0.7%
9.75	1	0.7%
9.73	1	0.7%
9.49	1	0.7%
9.47	1	0.7%
8.59	1	0.7%
8.55	1	0.7%
8.49	1	0.7%

Finanças - Fiscal - Gasto com Pessoal - Meta
Real number (ℝ)

Distinct	6
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.86973165

Minimum	0.7195
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0.7195
5-th percentile	0.7822
Q1	0.7822
median	0.7822
Q3	0.972
95-th percentile	0.972
Maximum	1
Range	0.2805
Interquartile range (IQR)	0.1898

Descriptive statistics

Standard deviation	0.097109715
Coefficient of variation (CV)	0.1116548
Kurtosis	-1.9368724
Mean	0.86973165
Median Absolute Deviation (MAD)	0
Skewness	0.11387345
Sum	120.8927
Variance	0.0094302967
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0.7822	71	51.1%
0.972	58	41.7%
1	4	2.9%
0.7195	3	2.2%
0.9366	2	1.4%
0.9488	1	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.7195	3	2.2%
0.7822	71	51.1%
0.9366	2	1.4%
0.9488	1	0.7%
0.972	58	41.7%
1	4	2.9%

Value	Count	Frequency (%)
1	4	2.9%
0.972	58	41.7%
0.9488	1	0.7%
0.9366	2	1.4%
0.7822	71	51.1%
0.7195	3	2.2%

Finanças - Fiscal - Gasto com Pessoal - Outlier
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Não	139

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	417
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Não
2nd row	Não
3rd row	Não
4th row	Não
5th row	Não

Common Values

Value	Count	Frequency (%)
Não	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
não	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278	66.7%
Uppercase Letter	139	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
ã	139	50.0%
o	139	50.0%

Uppercase Letter

Value	Count	Frequency (%)
N	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	417	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	278	66.7%
None	139	33.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	139	50.0%
o	139	50.0%

None

Value	Count	Frequency (%)
ã	139	100.0%

Finanças - Fiscal - Gasto com Pessoal - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Firjan/2019	139

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1529
Distinct characters	11
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Firjan/2019
2nd row	Firjan/2019
3rd row	Firjan/2019
4th row	Firjan/2019
5th row	Firjan/2019

Common Values

Value	Count	Frequency (%)
Firjan/2019	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
firjan/2019	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	695	45.5%
Decimal Number	556	36.4%
Uppercase Letter	139	9.1%
Other Punctuation	139	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	139	20.0%
r	139	20.0%
j	139	20.0%
a	139	20.0%
n	139	20.0%

Decimal Number

Value	Count	Frequency (%)
2	139	25.0%
0	139	25.0%
1	139	25.0%
9	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
F	139	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	834	54.5%
Common	695	45.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	139	16.7%
i	139	16.7%
r	139	16.7%
j	139	16.7%
a	139	16.7%
n	139	16.7%

Common

Value	Count	Frequency (%)
/	139	20.0%
2	139	20.0%
0	139	20.0%
1	139	20.0%
9	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1529	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Finanças - Fiscal - Investimentos - Dado Bruto
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Finanças - Fiscal - Investimentos - Nota
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	102
Distinct (%)	73.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4174101

Minimum	0
Maximum	10
Zeros	13
Zeros (%)	9.4%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3.105
median	5.4
Q3	7.875
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	4.77

Descriptive statistics

Standard deviation	3.0874295
Coefficient of variation (CV)	0.56990876
Kurtosis	-0.98419232
Mean	5.4174101
Median Absolute Deviation (MAD)	2.37
Skewness	-0.093941547
Sum	753.02
Variance	9.5322208
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	18	12.9%
0	13	9.4%
5.8	2	1.4%
7.43	2	1.4%
4.5	2	1.4%
6.02	2	1.4%
4.76	2	1.4%
8.13	2	1.4%
4.16	2	1.4%
2.72	2	1.4%
Other values (92)	92	66.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	9.4%
0.84	1	0.7%
1.18	1	0.7%
1.24	1	0.7%
1.87	1	0.7%
1.95	1	0.7%
1.96	1	0.7%
2.02	1	0.7%
2.03	1	0.7%
2.08	1	0.7%

Value	Count	Frequency (%)
10	18	12.9%
9.62	1	0.7%
9.31	1	0.7%
9.28	1	0.7%
9.21	1	0.7%
9.16	1	0.7%
9.14	1	0.7%
9.06	1	0.7%
9.04	1	0.7%
8.99	1	0.7%

Finanças - Fiscal - Investimentos - Meta
Real number (ℝ)

Distinct	7
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.93559712

Minimum	0.632
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0.632
5-th percentile	0.78666
Q1	0.914
median	0.914
Q3	1
95-th percentile	1
Maximum	1
Range	0.368
Interquartile range (IQR)	0.086

Descriptive statistics

Standard deviation	0.075765963
Coefficient of variation (CV)	0.080981398
Kurtosis	4.7663661
Mean	0.93559712
Median Absolute Deviation (MAD)	0
Skewness	-1.9232503
Sum	130.048
Variance	0.0057404812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0.914	71	51.1%
1	58	41.7%
0.793	3	2.2%
0.676	3	2.2%
0.7296	2	1.4%
0.6558	1	0.7%
0.632	1	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.632	1	0.7%
0.6558	1	0.7%
0.676	3	2.2%
0.7296	2	1.4%
0.793	3	2.2%
0.914	71	51.1%
1	58	41.7%

Value	Count	Frequency (%)
1	58	41.7%
0.914	71	51.1%
0.793	3	2.2%
0.7296	2	1.4%
0.676	3	2.2%
0.6558	1	0.7%
0.632	1	0.7%

Finanças - Fiscal - Investimentos - Outlier
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Não	139

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	417
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Não
2nd row	Não
3rd row	Não
4th row	Não
5th row	Não

Common Values

Value	Count	Frequency (%)
Não	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
não	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278	66.7%
Uppercase Letter	139	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
ã	139	50.0%
o	139	50.0%

Uppercase Letter

Value	Count	Frequency (%)
N	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	417	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	278	66.7%
None	139	33.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	139	50.0%
o	139	50.0%

None

Value	Count	Frequency (%)
ã	139	100.0%

Finanças - Fiscal - Investimentos - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Firjan/2019	139

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1529
Distinct characters	11
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Firjan/2019
2nd row	Firjan/2019
3rd row	Firjan/2019
4th row	Firjan/2019
5th row	Firjan/2019

Common Values

Value	Count	Frequency (%)
Firjan/2019	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
firjan/2019	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	695	45.5%
Decimal Number	556	36.4%
Uppercase Letter	139	9.1%
Other Punctuation	139	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	139	20.0%
r	139	20.0%
j	139	20.0%
a	139	20.0%
n	139	20.0%

Decimal Number

Value	Count	Frequency (%)
2	139	25.0%
0	139	25.0%
1	139	25.0%
9	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
F	139	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	834	54.5%
Common	695	45.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	139	16.7%
i	139	16.7%
r	139	16.7%
j	139	16.7%
a	139	16.7%
n	139	16.7%

Common

Value	Count	Frequency (%)
/	139	20.0%
2	139	20.0%
0	139	20.0%
1	139	20.0%
9	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1529	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Finanças - Fiscal - Liquidez - Dado Bruto
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Finanças - Fiscal - Liquidez - Nota
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	95
Distinct (%)	68.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.4888489

Minimum	0
Maximum	10
Zeros	20
Zeros (%)	14.4%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4.765
median	5.6
Q3	6.85
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	2.085

Descriptive statistics

Standard deviation	2.7947295
Coefficient of variation (CV)	0.50916496
Kurtosis	0.11607467
Mean	5.4888489
Median Absolute Deviation (MAD)	1.06
Skewness	-0.52414211
Sum	762.95
Variance	7.8105132
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20	14.4%
10	14	10.1%
4.85	3	2.2%
7.56	2	1.4%
5.17	2	1.4%
5.02	2	1.4%
5.6	2	1.4%
4.23	2	1.4%
5.28	2	1.4%
6.48	2	1.4%
Other values (85)	88	63.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	20	14.4%
4.05	1	0.7%
4.18	1	0.7%
4.23	2	1.4%
4.24	1	0.7%
4.32	1	0.7%
4.44	1	0.7%
4.46	1	0.7%
4.51	1	0.7%
4.52	1	0.7%

Value	Count	Frequency (%)
10	14	10.1%
9.92	1	0.7%
9.84	1	0.7%
9.62	1	0.7%
9.26	1	0.7%
8.53	1	0.7%
8.14	1	0.7%
8.12	1	0.7%
8.03	1	0.7%
7.82	1	0.7%

Finanças - Fiscal - Liquidez - Meta
Categorical

Distinct	2
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

0.9881000000000001	71
1.0	68

Length

Max length	18
Median length	18
Mean length	10.661871
Min length	3

Characters and Unicode

Total characters	1482
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.9881000000000001
2nd row	0.9881000000000001
3rd row	0.9881000000000001
4th row	0.9881000000000001
5th row	0.9881000000000001

Common Values

Value	Count	Frequency (%)
0.9881000000000001	71	51.1%
1.0	68	48.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.9881000000000001	71	51.1%
1.0	68	48.9%

Most occurring characters

Value	Count	Frequency (%)
0	920	62.1%
1	210	14.2%
8	142	9.6%
.	139	9.4%
9	71	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1343	90.6%
Other Punctuation	139	9.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	920	68.5%
1	210	15.6%
8	142	10.6%
9	71	5.3%

Other Punctuation

Value	Count	Frequency (%)
.	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1482	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	920	62.1%
1	210	14.2%
8	142	9.6%
.	139	9.4%
9	71	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1482	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	920	62.1%
1	210	14.2%
8	142	9.6%
.	139	9.4%
9	71	4.8%

Finanças - Fiscal - Liquidez - Outlier
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Não	139

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	417
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Não
2nd row	Não
3rd row	Não
4th row	Não
5th row	Não

Common Values

Value	Count	Frequency (%)
Não	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
não	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278	66.7%
Uppercase Letter	139	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
ã	139	50.0%
o	139	50.0%

Uppercase Letter

Value	Count	Frequency (%)
N	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	417	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	139	33.3%
ã	139	33.3%
o	139	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	278	66.7%
None	139	33.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	139	50.0%
o	139	50.0%

None

Value	Count	Frequency (%)
ã	139	100.0%

Finanças - Fiscal - Liquidez - Fonte
Categorical

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Firjan/2019	139

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1529
Distinct characters	11
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Firjan/2019
2nd row	Firjan/2019
3rd row	Firjan/2019
4th row	Firjan/2019
5th row	Firjan/2019

Common Values

Value	Count	Frequency (%)
Firjan/2019	139	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
firjan/2019	139	100.0%

Most occurring characters

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	695	45.5%
Decimal Number	556	36.4%
Uppercase Letter	139	9.1%
Other Punctuation	139	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	139	20.0%
r	139	20.0%
j	139	20.0%
a	139	20.0%
n	139	20.0%

Decimal Number

Value	Count	Frequency (%)
2	139	25.0%
0	139	25.0%
1	139	25.0%
9	139	25.0%

Uppercase Letter

Value	Count	Frequency (%)
F	139	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	139	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	834	54.5%
Common	695	45.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	139	16.7%
i	139	16.7%
r	139	16.7%
j	139	16.7%
a	139	16.7%
n	139	16.7%

Common

Value	Count	Frequency (%)
/	139	20.0%
2	139	20.0%
0	139	20.0%
1	139	20.0%
9	139	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1529	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	139	9.1%
i	139	9.1%
r	139	9.1%
j	139	9.1%
a	139	9.1%
n	139	9.1%
/	139	9.1%
2	139	9.1%
0	139	9.1%
1	139	9.1%

Finanças - Fiscal (Indicador)
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	123
Distinct (%)	88.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4782662

Minimum	0
Maximum	10
Zeros	13
Zeros (%)	9.4%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3.5605
median	4.668
Q3	5.778
95-th percentile	7.513
Maximum	10
Range	10
Interquartile range (IQR)	2.2175

Descriptive statistics

Standard deviation	2.0834301
Coefficient of variation (CV)	0.4652314
Kurtosis	0.3038534
Mean	4.4782662
Median Absolute Deviation (MAD)	1.13
Skewness	-0.44779564
Sum	622.479
Variance	4.3406808
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	13	9.4%
4.878	2	1.4%
3.965	2	1.4%
5.045	2	1.4%
3.088	2	1.4%
4.043	1	0.7%
5.535	1	0.7%
5.533	1	0.7%
6.065	1	0.7%
4.838	1	0.7%
Other values (113)	113	81.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	9.4%
1.24	1	0.7%
1.53	1	0.7%
2.28	1	0.7%
2.368	1	0.7%
2.418	1	0.7%
2.523	1	0.7%
2.55	1	0.7%
2.57	1	0.7%
2.6	1	0.7%

Value	Count	Frequency (%)
10	1	0.7%
8.843	1	0.7%
8.635	1	0.7%
8.213	1	0.7%
7.78	1	0.7%
7.653	1	0.7%
7.63	1	0.7%
7.5	1	0.7%
7.375	1	0.7%
7.22	1	0.7%

Finanças - Equilíbrio Previdenciário - Indicador Situação Prev. - Dado Bruto
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	ano	codigo_municipio	Código IBGE	nome	estado (sigla)	Região	Nome_UF	capital (s/n)	Cluster	Dados de Identificação/Demográficos - População	Dados de Identificação/Demográficos - População - Fonte	Área da Unidade Territorial	Área da Unidade Territorial - Fonte	Pib per capita 2020	Pib per capita 2020 - Fonte	Pib a preços correntes (R$ 1.000)	Pib a preços correntes (R$ 1.000) - Fonte	Finanças - Investimento per Capita - Invest. Educação - Dado Bruto	Finanças - Investimento per Capita - Invest. Educação - Nota	Finanças - Investimento per Capita - Invest. Educação - Meta	Finanças - Investimento per Capita - Invest. Educação - Outlier	Finanças - Investimento per Capita - Invest. Educação - Fonte	Finanças - Investimento per Capita - Invest. Saúde - Dado Bruto	Finanças - Investimento per Capita - Invest. Saúde - Nota	Finanças - Investimento per Capita - Invest. Saúde - Meta	Finanças - Investimento per Capita - Invest. Saúde - Outlier	Finanças - Investimento per Capita - Invest. Saúde - Fonte	Finanças - Investimento per Capita (Indicador)	Finanças - Fiscal - Autonomia - Dado Bruto	Finanças - Fiscal - Autonomia - Nota	Finanças - Fiscal - Autonomia - Meta	Finanças - Fiscal - Autonomia - Outlier	Finanças - Fiscal - Autonomia - Fonte	Finanças - Fiscal - Gasto com Pessoal - Dado Bruto	Finanças - Fiscal - Gasto com Pessoal - Nota	Finanças - Fiscal - Gasto com Pessoal - Meta	Finanças - Fiscal - Gasto com Pessoal - Outlier	Finanças - Fiscal - Gasto com Pessoal - Fonte	Finanças - Fiscal - Investimentos - Dado Bruto	Finanças - Fiscal - Investimentos - Nota	Finanças - Fiscal - Investimentos - Meta	Finanças - Fiscal - Investimentos - Outlier	Finanças - Fiscal - Investimentos - Fonte	Finanças - Fiscal - Liquidez - Dado Bruto	Finanças - Fiscal - Liquidez - Nota	Finanças - Fiscal - Liquidez - Meta	Finanças - Fiscal - Liquidez - Outlier	Finanças - Fiscal - Liquidez - Fonte	Finanças - Fiscal (Indicador)	Finanças - Equilíbrio Previdenciário - Indicador Situação Prev. - Dado Bruto
27154	2021	171575	1715754	PALMEIROPOLIS	TO	Norte	PALMEIROPOLIS - TO	n	Grupo 1	7676	IBGE/2020	1703.94	IBGE/2010	15543.80	IBGE/2020	119314.20880	IBGE/2020	948.074775	5.66	1354.959465	Não	STN/2019	758.971137	6.44	980.53246	Não	STN/2019	6.050	0.084	2.66	0.3161	Não	Firjan/2019	0.516	6.60	0.7822	Não	Firjan/2019	1	10.00	0.914	Não	Firjan/2019	0.747	7.56	0.9881	Não	Firjan/2019	6.705	4.5
27155	2021	172090	1720903	TAGUATINGA	TO	Norte	TAGUATINGA - TO	n	Grupo 1	16825	IBGE/2020	2437.40	IBGE/2010	14648.47	IBGE/2020	246460.50775	IBGE/2020	635.434002	2.33	1354.959465	Não	STN/2019	718.264128	5.79	980.53246	Não	STN/2019	4.060	0.334	10.00	0.3161	Não	Firjan/2019	0	0.00	0.7822	Não	Firjan/2019	0.19	2.08	0.914	Não	Firjan/2019	1	10.00	0.9881	Não	Firjan/2019	5.520	4.25
27156	2021	170720	1707207	DOIS IRMAOS DO TOCANTINS	TO	Norte	DOIS IRMAOS DO TOCANTINS - TO	n	Grupo 1	7185	IBGE/2020	3757.04	IBGE/2010	14213.92	IBGE/2020	102127.01520	IBGE/2020	761.144753	3.67	1354.959465	Não	STN/2019	660.48275	4.86	980.53246	Não	STN/2019	4.265	0.141	4.46	0.3161	Não	Firjan/2019	0.839	10.00	0.7822	Não	Firjan/2019	0.336	3.68	0.914	Não	Firjan/2019	1	10.00	0.9881	Não	Firjan/2019	7.035	4.5
27157	2021	170255	1702554	AUGUSTINOPOLIS	TO	Norte	AUGUSTINOPOLIS - TO	n	Grupo 1	18643	IBGE/2020	394.98	IBGE/2010	13961.17	IBGE/2020	260278.09231	IBGE/2020	778.269193	3.85	1354.959465	Não	STN/2019	466.793064	1.75	980.53246	Não	STN/2019	2.800	0.104	3.29	0.3161	Não	Firjan/2019	0.243	3.11	0.7822	Não	Firjan/2019	0.631	6.90	0.914	Não	Firjan/2019	0.483	4.89	0.9881	Não	Firjan/2019	4.548	nd
27158	2021	170380	1703800	BURITI DO TOCANTINS	TO	Norte	BURITI DO TOCANTINS - TO	n	Grupo 1	11497	IBGE/2020	251.92	IBGE/2010	8731.58	IBGE/2020	100386.97526	IBGE/2020	700.962287	3.03	1354.959465	Não	STN/2019	449.287652	1.47	980.53246	Não	STN/2019	2.250	0	0.00	0.3161	Não	Firjan/2019	0.669	8.55	0.7822	Não	Firjan/2019	0.679	7.43	0.914	Não	Firjan/2019	0.744	7.53	0.9881	Não	Firjan/2019	5.878	nd
27159	2021	172020	1720200	SAO MIGUEL DO TOCANTINS	TO	Norte	SAO MIGUEL DO TOCANTINS - TO	n	Grupo 1	12294	IBGE/2020	398.82	IBGE/2010	8836.50	IBGE/2020	108635.93100	IBGE/2020	1073.248113	7.00	1354.959465	Não	STN/2019	531.038835	2.78	980.53246	Não	STN/2019	4.890	0	0.00	0.3161	Não	Firjan/2019	0	0.00	0.7822	Não	Firjan/2019	0.411	4.50	0.914	Não	Firjan/2019	0.491	4.97	0.9881	Não	Firjan/2019	2.368	nd
27160	2021	171790	1717909	PONTE ALTA DO TOCANTINS	TO	Norte	PONTE ALTA DO TOCANTINS - TO	n	Grupo 1	8116	IBGE/2020	6491.13	IBGE/2010	10574.22	IBGE/2020	85820.36952	IBGE/2020	709.465389	3.12	1354.959465	Não	STN/2019	521.643785	2.63	980.53246	Não	STN/2019	2.875	0	0.00	0.3161	Não	Firjan/2019	0.203	2.60	0.7822	Não	Firjan/2019	0.179	1.96	0.914	Não	Firjan/2019	0.602	6.09	0.9881	Não	Firjan/2019	2.663	3
27161	2021	172080	1720804	SITIO NOVO DO TOCANTINS	TO	Norte	SITIO NOVO DO TOCANTINS - TO	n	Grupo 1	8997	IBGE/2020	324.10	IBGE/2010	11252.11	IBGE/2020	101235.23367	IBGE/2020	1425.702951	10.00	1354.959465	Não	STN/2019	765.672211	6.55	980.53246	Não	STN/2019	8.275	0	0.00	0.3161	Não	Firjan/2019	0	0.00	0.7822	Não	Firjan/2019	0.812	8.88	0.914	Não	Firjan/2019	0.547	5.54	0.9881	Não	Firjan/2019	3.605	nd
27162	2021	171050	1710508	ITACAJA	TO	Norte	ITACAJA - TO	n	Grupo 1	7452	IBGE/2020	3051.36	IBGE/2010	13414.29	IBGE/2020	99963.28908	IBGE/2020	748.38491	3.54	1354.959465	Não	STN/2019	623.432876	4.27	980.53246	Não	STN/2019	3.905	0.569	10.00	0.3161	Não	Firjan/2019	0.1	1.28	0.7822	Não	Firjan/2019	0.684	7.48	0.914	Não	Firjan/2019	0.447	4.52	0.9881	Não	Firjan/2019	5.820	nd
27163	2021	171380	1713809	PALMEIRAS DO TOCANTINS	TO	Norte	PALMEIRAS DO TOCANTINS - TO	n	Grupo 1	6745	IBGE/2020	747.90	IBGE/2010	10464.86	IBGE/2020	70585.48070	IBGE/2020	766.579867	3.73	1354.959465	Não	STN/2019	596.08715	3.83	980.53246	Não	STN/2019	3.780	0	0.00	0.3161	Não	Firjan/2019	0.742	9.49	0.7822	Não	Firjan/2019	0.835	9.14	0.914	Não	Firjan/2019	0.493	4.99	0.9881	Não	Firjan/2019	5.905	nd

	ano	codigo_municipio	Código IBGE	nome	estado (sigla)	Região	Nome_UF	capital (s/n)	Cluster	Dados de Identificação/Demográficos - População	Dados de Identificação/Demográficos - População - Fonte	Área da Unidade Territorial	Área da Unidade Territorial - Fonte	Pib per capita 2020	Pib per capita 2020 - Fonte	Pib a preços correntes (R$ 1.000)	Pib a preços correntes (R$ 1.000) - Fonte	Finanças - Investimento per Capita - Invest. Educação - Dado Bruto	Finanças - Investimento per Capita - Invest. Educação - Nota	Finanças - Investimento per Capita - Invest. Educação - Meta	Finanças - Investimento per Capita - Invest. Educação - Outlier	Finanças - Investimento per Capita - Invest. Educação - Fonte	Finanças - Investimento per Capita - Invest. Saúde - Dado Bruto	Finanças - Investimento per Capita - Invest. Saúde - Nota	Finanças - Investimento per Capita - Invest. Saúde - Meta	Finanças - Investimento per Capita - Invest. Saúde - Outlier	Finanças - Investimento per Capita - Invest. Saúde - Fonte	Finanças - Investimento per Capita (Indicador)	Finanças - Fiscal - Autonomia - Dado Bruto	Finanças - Fiscal - Autonomia - Nota	Finanças - Fiscal - Autonomia - Meta	Finanças - Fiscal - Autonomia - Outlier	Finanças - Fiscal - Autonomia - Fonte	Finanças - Fiscal - Gasto com Pessoal - Dado Bruto	Finanças - Fiscal - Gasto com Pessoal - Nota	Finanças - Fiscal - Gasto com Pessoal - Meta	Finanças - Fiscal - Gasto com Pessoal - Outlier	Finanças - Fiscal - Gasto com Pessoal - Fonte	Finanças - Fiscal - Investimentos - Dado Bruto	Finanças - Fiscal - Investimentos - Nota	Finanças - Fiscal - Investimentos - Meta	Finanças - Fiscal - Investimentos - Outlier	Finanças - Fiscal - Investimentos - Fonte	Finanças - Fiscal - Liquidez - Dado Bruto	Finanças - Fiscal - Liquidez - Nota	Finanças - Fiscal - Liquidez - Meta	Finanças - Fiscal - Liquidez - Outlier	Finanças - Fiscal - Liquidez - Fonte	Finanças - Fiscal (Indicador)	Finanças - Equilíbrio Previdenciário - Indicador Situação Prev. - Dado Bruto
27283	2021	170220	1702208	ARAGUATINS	TO	Norte	ARAGUATINS - TO	n	Grupo 3	36170	IBGE/2020	2625.29	IBGE/2010	12060.54	IBGE/2020	4.362297e+05	IBGE/2020	674.778672	2.93	1248.735078	Não	STN/2019	478.206629	4.39	673.546441	Não	STN/2019	3.660	0	0.00	0.338	Não	Firjan/2019	0	0.00	0.7195	Não	Firjan/2019	0.359	4.44	0.7930	Não	Firjan/2019	1	10.00	1.0	Não	Firjan/2019	3.610	4.75
27284	2021	172120	1721208	TOCANTINOPOLIS	TO	Norte	TOCANTINOPOLIS - TO	n	Grupo 3	22845	IBGE/2020	1077.07	IBGE/2010	12913.56	IBGE/2020	2.950103e+05	IBGE/2020	712.152257	3.39	1248.735078	Não	STN/2019	716.479335	10.00	673.546441	Não	STN/2019	6.695	0.472	10.00	0.338	Não	Firjan/2019	0.271	3.77	0.7195	Não	Firjan/2019	0.95	10.00	0.7930	Não	Firjan/2019	0.573	5.73	1.0	Não	Firjan/2019	7.375	nd
27285	2021	170700	1707009	DIANOPOLIS	TO	Norte	DIANOPOLIS - TO	n	Grupo 3	22424	IBGE/2020	3217.31	IBGE/2010	15912.16	IBGE/2020	3.568143e+05	IBGE/2020	761.569913	4.00	1248.735078	Não	STN/2019	464.694262	4.00	673.546441	Não	STN/2019	4.000	0.519	10.00	0.338	Não	Firjan/2019	0	0.00	0.7195	Não	Firjan/2019	0.105	1.18	0.7930	Não	Firjan/2019	1	10.00	1.0	Não	Firjan/2019	5.295	5.25
27286	2021	170930	1709302	GUARAI	TO	Norte	GUARAI - TO	n	Grupo 4	26165	IBGE/2020	2268.16	IBGE/2010	25371.81	IBGE/2020	6.638534e+05	IBGE/2020	643.550356	2.62	1170.632635	Não	STN/2019	531.578985	1.90	991.025958	Não	STN/2019	2.260	0.914	9.14	1.000	Não	Firjan/2019	0.329	3.51	0.9366	Não	Firjan/2019	0.61	8.34	0.7296	Não	Firjan/2019	0.962	9.62	1.0	Não	Firjan/2019	7.653	4.5
27287	2021	170550	1705508	COLINAS DO TOCANTINS	TO	Norte	COLINAS DO TOCANTINS - TO	n	Grupo 4	35851	IBGE/2020	843.85	IBGE/2010	20752.91	IBGE/2020	7.440126e+05	IBGE/2020	876.145683	5.87	1170.632635	Não	STN/2019	650.748263	4.00	991.025958	Não	STN/2019	4.935	0.463	4.63	1.000	Não	Firjan/2019	0.021	0.22	0.9366	Não	Firjan/2019	0.344	4.66	0.7296	Não	Firjan/2019	1	10.00	1.0	Não	Firjan/2019	4.878	5.5
27288	2021	171610	1716109	PARAISO DO TOCANTINS	TO	Norte	PARAISO DO TOCANTINS - TO	n	Grupo 6	51891	IBGE/2020	1268.06	IBGE/2010	24316.23	IBGE/2020	1.261793e+06	IBGE/2020	586.288381	2.42	1246.871303	Não	STN/2019	498.911	1.36	1075.024453	Não	STN/2019	1.890	0.839	8.27	1.000	Não	Firjan/2019	0.47	4.70	1.0000	Não	Firjan/2019	0.582	8.47	0.6760	Não	Firjan/2019	0.669	6.69	1.0	Não	Firjan/2019	7.033	5.5
27289	2021	170950	1709500	GURUPI	TO	Norte	GURUPI - TO	n	Grupo 6	87545	IBGE/2020	1836.09	IBGE/2010	25690.42	IBGE/2020	2.249068e+06	IBGE/2020	1432.114556	10.00	1246.871303	Não	STN/2019	585.208341	2.65	1075.024453	Não	STN/2019	6.325	1	10.00	1.000	Não	Firjan/2019	0.298	2.98	1.0000	Não	Firjan/2019	0.525	7.54	0.6760	Não	Firjan/2019	1	10.00	1.0	Não	Firjan/2019	7.630	4
27290	2021	171820	1718204	PORTO NACIONAL	TO	Norte	PORTO NACIONAL - TO	n	Grupo 6	53316	IBGE/2020	4449.92	IBGE/2010	31830.46	IBGE/2020	1.697073e+06	IBGE/2020	898.812995	6.01	1246.871303	Não	STN/2019	701.706917	4.40	1075.024453	Não	STN/2019	5.205	0.564	5.30	1.000	Não	Firjan/2019	0.365	3.65	1.0000	Não	Firjan/2019	0.434	6.07	0.6760	Não	Firjan/2019	1	10.00	1.0	Não	Firjan/2019	6.255	5
27291	2021	170210	1702109	ARAGUAINA	TO	Norte	ARAGUAINA - TO	n	Grupo 7	183381	IBGE/2020	4000.42	IBGE/2010	24715.96	IBGE/2020	4.532437e+06	IBGE/2020	873.084469	9.86	881.888682	Não	STN/2019	591.060232	5.59	859.485444	Não	STN/2019	7.725	0.65	6.50	1.000	Não	Firjan/2019	0.727	7.66	0.9488	Não	Firjan/2019	0.325	4.72	0.6558	Não	Firjan/2019	1	10.00	1.0	Não	Firjan/2019	7.220	4
27292	2021	172100	1721000	PALMAS	TO	Norte	PALMAS - TO	s	Grupo 8	306296	IBGE/2020	2218.94	IBGE/2010	32293.89	IBGE/2020	9.891489e+06	IBGE/2020	1010.055864	8.39	1094.205857	Não	STN/2019	738.185343	3.42	1264.808039	Não	STN/2019	5.905	0.886	8.86	1.000	Não	Firjan/2019	0.682	6.82	1.0000	Não	Firjan/2019	0.572	9.04	0.6320	Não	Firjan/2019	0.64	6.40	1.0	Não	Firjan/2019	7.780	3.75

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Modifier Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Dash Punctuation

Modifier Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories